Ground-based contrail observations: comparisons with reanalysis weather data and contrail model simulations
<p>Observations of contrails are vital for improving our understanding of the contrail formation and life cycle, informing models, and assessing mitigation strategies. Here, we developed a methodology that utilises ground-based cameras for tracking and analysing young contrails (<span class...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-01-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/18/37/2025/amt-18-37-2025.pdf |
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| Summary: | <p>Observations of contrails are vital for improving our understanding of the contrail formation and life cycle, informing models, and assessing mitigation strategies. Here, we developed a methodology that utilises ground-based cameras for tracking and analysing young contrails (<span class="inline-formula"><</span> 35 <span class="inline-formula">min</span>) formed under clear-sky conditions, comparing these observations against reanalysis meteorology and simulations from the contrail cirrus prediction model (CoCiP) with actual flight trajectories. Our observations consist of 14 <span class="inline-formula">h</span> of video footage recorded over 5 different days in Central London, capturing 1582 flight waypoints from 281 flights. The simulation correctly predicted contrail formation and absence for around 75 % of these waypoints, with incorrect contrail predictions occurring at warmer temperatures than those with true-positive predictions (7.8 <span class="inline-formula">K</span> vs. 12.8 <span class="inline-formula">K</span> below the Schmidt–Appleman criterion threshold temperature). When evaluating contrails with observed lifetimes of at least 2 <span class="inline-formula">min</span>, the simulation's correct prediction rate for contrail formation increases to over 85 %. Among all waypoints with contrail observations, 78 % of short-lived contrails (observed lifetimes <span class="inline-formula"><</span> 2 <span class="inline-formula">min</span>) formed under ice-subsaturated conditions, whereas 75 % of persistent contrails (observed lifetimes <span class="inline-formula">></span> 10 <span class="inline-formula">min</span>) formed under ice-supersaturated conditions. On average, the simulated contrail geometric width was around 100 <span class="inline-formula">m</span> smaller than the observed (visible) width over its observed lifetime, with the mean underestimation reaching up to 280 <span class="inline-formula">m</span> within the first 5 min. Discrepancies between the observed and simulated contrail formation, lifetime, and width can be associated with uncertainties in reanalysis meteorology due to known model limitations and sub-grid-scale variabilities, contrail model simplifications, uncertainties in aircraft performance estimates, and observational challenges, among other possible factors. Overall, this study demonstrates the potential of ground-based cameras to create essential observational and benchmark datasets for validating and improving existing weather and contrail models.</p> |
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| ISSN: | 1867-1381 1867-8548 |